Sr. Sales Engineer, East Coast

Responsibilities

• Help prospects and customers advance data-driven culture and drive concrete business outcomes.
• Evangelize the value, ease of use, and speed of Bigeye in a rapidly emerging market.
• Guide prospects from demos to proof of concepts (POCs) to production, helping them build comprehensive data observability practices.
• Design and implement industry-specific demonstrations and POCs that create repeatable outcomes for prospective customers.
• Assess the economic benefits of Bigeye and gain consensus among stakeholders.
• Attend conferences, seminars, and events to maintain market awareness.
• Collect and share product feedback with the Product and Engineering teams.
• Reply to RFIs, RFPs, and RFQs.
• Teach and showcase Bigeye using customer success stories and other assets.

Requirements

• 3-5+ years of Sales Engineering experience (level determined based on experience).
• Experience working with cloud data warehouses or lakes, such as Snowflake, Databricks, Microsoft Synapse, and Google BigQuery.
• Aptitude to work with data hands-on, including reading and writing SQL, debugging SQL queries, and understanding user interactions with databases.
• Desire to solve a problem once and then automate it.
• Comprehension of database management practices: partitions, indices, schema design, etc.
• Knowledge of both ETL and ELT approaches to data pipelines.

Nice-to-Haves

• 2+ years of Sales Engineering experience in B2B SaaS data products.
• Comprehension of at least one major cloud infrastructure provider (AWS, GCP, Azure).
• Hands-on experience with one or more modern data tools: Airflow, dbt, Azure Data Factory, Fivetran, etc.
• Beginner to intermediate grasp of Python or equivalent language.

Compensation

• Salary range $150,000-177,000, plus incentive, depending on location.
• Highly competitive salary and equity opportunity.
• Medical, Dental and Vision.
• Health and Wellness package.
• 401k plan.
• Unlimited PTO.
• Elite technology package.